2025
ACL
ACL 2025
Jim at SemEval-2025 Task 5: Multilingual BERT Ensemble
Abstract
AbstractThe SemEval-2025 Task 5 calls for the utilization of LLM capabilities to apply controlled subject labels to record descriptions in the multilingual library collection of the German National Library of Science and Technology. The multilingual BERT ensemble system described herein produces subject labels for various record types, including articles, books, conference papers, reports, and theses. Results indicate that for English language article records, bidirectional encoder-only LLMs can achieve high recall in automated subject assignment.
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Interdisciplinary Bridge
— Artificial Intelligence and Machine Learning
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Keyword Pioneer
— subject labeling
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Data Science & Analytics, Deep Learning, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning
Authors
Topics
Artificial Intelligence > Core AI > Foundation Models
Machine Learning > Core Methods > Classification
Machine Learning > Application Areas > Domain Adaptation
Natural Language Processing > Applications > Text Classification
Machine Learning > Learning Types > Multi-Lingual Learning
Deep Learning > Models > Language Models